Senior Applied Scientist

Microsoft•Redmond, WA
•$119,800 - $261,000

About The Position

The Senior Applied Scientist will advance auction mechanism design for online advertising auctions owned by Microsoft Advertising and its partners. The role extends proven approaches to new markets and develops new auction solutions, including algorithms for ad ranking and pricing. The scientist evaluates existing algorithms, identifies opportunities to improve business metrics, and validates solutions through large-scale experimentation. The work applies machine learning, automation, rapid prototyping, optimization, and root cause analysis, with the opportunity to lead independent projects and deliver measurable business impact while collaborating across teams. The role also involves applying research and subject matter expertise to business requirements, selecting appropriate analytical techniques, building data pipelines and software to support experimentation and diagnostics, and bringing new approaches into production. The employee documents work and experimental results and shares findings to promote innovation. AI Experiences employees who live within a 50-mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week, subject to local law and jurisdictional variation.

Requirements

  • Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field, plus 4 or more years of related experience; or master's degree in one of these fields plus 3 or more years of related experience; or doctorate in one of these fields plus 1 or more years of related experience; or equivalent experience.
  • Related experience may include statistics, predictive analytics, or research.

Nice To Haves

  • Master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field, plus 6 or more years of related experience; or doctorate in one of these fields plus 3 or more years of related experience; or equivalent experience.

Responsibilities

  • Master mechanism design for online auctions, A/B experimentation and related statistical analysis, and data pipeline creation on different platforms.
  • Develop expertise in mathematical and statistical modeling, machine and reinforcement learning, optimization methods, and Azure/Microsoft data science tools, selecting appropriate techniques for problems.
  • Independently identify areas with the highest potential impact on business metrics.
  • Review business requirements and incorporate research to meet business goals; provide strategic direction on the data used to solve problems and apply subject matter knowledge to support business impact.
  • Build data pipelines and software for rapid implementation of solutions, experimentation, dashboards, and diagnostics.
  • Bring new technology and approaches into production.
  • Document work in progress and experimentation results, and share findings to promote innovation.
  • Evaluate existing online advertising algorithms, identify opportunities for improvement, and validate solutions through large-scale experimentation.
  • Advance auction mechanism design by extending proven approaches to new markets and developing new auction solutions.

Benefits

  • Certain roles may be eligible for benefits and other compensation; specific benefits are not detailed in the posting.
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